Advances in computer technology, patient monitoring systems, and electronic health record systems have enabled rapid accumulation of patient data in electronic form (i.e. big data). Organizations such as the Anesthesia Quality Institute and Multicenter Perioperative Outcomes Group have spearheaded large-scale efforts to collect anaesthesia big data for outcomes research and quality improvement....

While much research work has been devoted to big data analytics in the past few years, very few studies about big data stream analytics are conducted and reported in existing Big Data literature. Empowered by recent success on automated mining of dynamic business networks, this paper illustrates the design of a novel framework named BIDSTA that leverages big data stream analytics to predict cor...

Big Data Analytics has been a hot topic in computing systems and varies systems have emerged to better support Big Data Analytics. Though databases have been the data hub for decades, they fall short of Big Data Analytics due to inherent limitations. This dissertation present GLADEML, a scalable and efficient parallel database that is specifically tailored for Big Data Analytics. Different from...

Data analytics and machine learning has always been of great importance in almost every field especially in business decision making and strategy building, in healthcare domain, in text mining and pattern identification on the web, in meteorological department, etc. The daily exponential growth of data today has shifted the normal data analytics to new paradigm of Big Data Analytics and Big Dat...

Big data (BD) analytics has brought progressive improvement in the business environment. It provides businesses with optimized production, personalization and way production is dispersed. Nevertheless, conflicts arise use of these methods certain industries, like retail items, which usually basis on large-scale prolonged supply chain. The study develops a theoretical structure to investigate if...

Academic institutions are now drawing attention in finding methods for making effective learning process, for identifying learner’s achievements and weakness, for tracing academic progress and also for predicting future performance. People’s increased expectation for accountability and transparency makes it necessary to implement big data analytics in the educational institution. But not all th...

-------------------------------------------------------------------ABSTRACT------------------------------------------------------------Big data is now one of the most important technology trends that have the potential for changing the way organizations transform massive amounts of data into knowledge. It is a combination of data-management technologies that have evolved over time. It enables o...

Though the big data benchmark suites like BigDataBench and CloudSuite have been used in architecture and system researches, we have not yet answered the fundamental issue— what are abstractions of frequently-appearing units of computation in big data analytics, which we call big data dwarfs. For the first time, we identify eight big data dwarfs, each of which captures the common requirements of...

Qian, Xinwu, "Big data analytics with NYC taxicab data" (2014). Open Access Theses. 669.